What I Learned About AI Trust from Reconciling over 100B Transactions

The author explains that ambiguous definitions—such as counting any system-generated SMS charge as a “monthly active user”—cause divergent metrics across marketing, product, and finance, leading AI models to inherit inconsistent data. At Moniepoint, processing over 100 billion transactions prompted a maker-checker reconciliation workflow, ensuring each upload is approved by a different person and embedding traceability throughout settlement and reporting pipelines.